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Premium member Presentation Transcript Digital Natives + Others = First Year Students: Digital Natives + Others = First Year Students Dr Gregor Kennedy Biomedical Multimedia Unit with colleagues: Dr Kerri-Lee Krause, Dr Terry Judd, Ms Anna Churchward & Dr Kathleen Gray EDUCAUSE 2007Slide2: They [digital natives] have spent their entire lives surrounded by and using computers, videogames, digital music players, video cams, cell phones and all the other toys and tools of the digital age It is now clear that as a result of this ubiquitous environment and the sheer volume of their interaction with it, today’s students think and process information fundamentally differently from their predecessors. It is very likely that our students’ brains have physically changed - and are different from ours - as a result of how they grew up. Marc Prensky (2001)Slide3: ‘Digital Natives’ = ‘Net Generation’ = ‘Y Generation’ = ‘Millennials’ Born roughly between 1980 and 1994 Characterised by their familiarity with and reliance on information and communication technologies (ICTs). prefer multi-tasking and quick, non-linear access to information; are adept at processing information rapidly; have a low tolerance for lectures; prefer active rather than passive learning; rely heavily on communications technologies to access information and to carry out social and professional interactions. (Prensky 2001a, 2001b; Oblinger, 2003; Gros, 2003; Frand, 2000) Digital NativesSlide4: Digital Immigrant University staff are ill-equipped to educate Digital Natives, whose sophisticated use of emerging technologies is incompatible with current teaching practice. Prensky (2001) suggests that this disparity is the “the biggest single problem facing education today” (p. 2). Commentators say educators need to adjust their pedagogical models to suit the preferences of this new generation of students. The Problem: Natives vs. ImmigrantsThe Problem with the Problem: The Problem with the Problem Assumptions underlying Prensky’s view on students in Higher Education: All incoming University students are ‘Digital Natives’. These ‘Digital Natives’ are an homogenous group. These ‘Digital Natives’ are more adept with technology than their teachers. Everyday skills with technology will easily translate into beneficial technology-based learning. This project sought to address the first two of these assumptionsSlide6: While there are plenty of case studies, and some evidence, of the successful application of technology in Higher Education, there is little empirical research on the Digital Natives per se. Kvavik (2005) and Kvavik & Caruso (2005) ICT permeates all aspects of students lives. Students are comfortable with core technologies; less comfortable with specialised technologies. High levels of use and skill did not necessarily translate into preferences for increased use of technology in the classroom. Students prefer technology to a moderate degree and as a supplement in courses. What is the evidence?Slide7: Aim - Digital Natives Study It is worth noting that the study does not investigate the more cognitive characteristics of the Digital Natives (cognitive structure or function; i.e. neuroplasticity). Empirically document first-year University of Melbourne students’ experiences with an array of technologies and technology-based tools. Focus on: - Entrenched technologies (e.g. computers, email). - Emerging technology-based tools (e.g. IM, social networking, SMS, blogs, wikis, file sharing, RSS, podcasting). Slide8: 1,973 first year students surveyed. Orientation week and first week of Semester 1, 2006. Good representation across faculties. 62.4% females 37.5% males. 23.4% International 75.2% Local students. MethodSlide9: Demographics (11 items) Access to hardware and the Internet (16 items) Use of ‘tech-tools’ Computer (10 items) Web (22 items) Mobile (7 items) Skills with ‘tech-tools’ (39 items) Preferences for ‘tech-tools’ in University studies (34 items) Method Questionnaire Students were asked to report on their previous yearSlide10: Results - AccessSlide11: Mobile phone (96%) Desktop computer (90%) Digital camera (76%) Broadband Internet (73%) MP3 player (69%) Laptop computer (63%) ‘Core’ Technologies … or becoming so… % of students with ‘Unrestricted’ access Results - AccessSlide12: Sending or receiving email (94%) Mobile phone voice calls (92%) Mobile phone text messaging (93%) Creating documents (88%) Playing digital music files (84%) Web-searching for general information (83%) Communicating via instant messaging (80%) Web-searching for study (76%) ‘Core’ Tech-Activities … or becoming so … % of students completing activities daily or weekly Results - UseSlide13: Mobiles to take digital photos or movies (57%) Mobiles to send digital photos or movies (33%) Web-based file sharing - music (38%) - photos (31%) Blogs - reading (38%) - commenting (27%) - maintaining (21%) ‘Emerging’ Tech-Activities … Social networking (24%) VOIP telephony (19%) Web-conferencing (19%) Results - UseSlide14: Factor Analyses Slide15: Factor AnalysesSlide16: Factor AnalysesSlide17: Gender Females > Males for: - Web Publishing - Advanced Mobile Males > Females for: - Web Services - Games Results - Use Used 9 factors in a MANOVA by Gender (male, female) by Residency (international, local) by Faculty Slide18: Results - Use Residency International > Local for: - Web Publishing - Advanced Mobile - MP3, Pics & IM - Advanced Web - Games - Standard Mobile Local > International for: - Web Services Used 9 factors in a MANOVA by Gender (male, female) by Residency (international, local) by Faculty Slide19: Used 9 factors in a MANOVA by Gender (male, female) by Residency (international, local) by Faculty Results - Use Slide20: To assist with my University studies I want to be able to use… Results - PreferencesSlide21: Most want to use … Computer for digital document creation and multimedia presentations, learning portal, web searches and Uni services, instant messaging and SMS. Some want to use … but some don’t … Creating web pages / web sites, using PDAs, social networking software, web conferencing, RSS feeds and blogs Results - PreferencesSlide22: While there are clearly many tech-savvy first year students; - there is substantial diversity among this cohort - particularly when one moves beyond ‘core’ technologies. Any technology-based learning and teaching strategies need to consider student equity (access and skill levels). There are essential technologies expected by students. While the use of some technologies is widely endorsed by students; other technologies clearly don’t enjoy this endorsement. Implications: Learning and Teaching StrategySlide23: Implications for Prensky The assumptions underpinning Prensky’s rhetoric about a new generation of Digital Native students don’t quite hold. The “sheer volume of their interaction” with their technologically ubiquitous environment They have “spent their entire lives” using … videogames, digital music players, video cams, cell phones and all the other toys and tools of the digital age. It’s true for some, It’s not true for others …Slide24: Implications for Prensky Rather than scrambling to react to the so-called ‘Digital Natives’ … and changing our curricula in response to what we think they might be like (or like) … … we need to think carefully about how we can use particular ‘core’ and ‘emerging’ technologies to support learning in higher education, given the known diversity of experiences, attitudes and expectations of all students.Slide25: Quadrant 1: Convenience 50% Quadrant 2: Connection 20% Quadrant 3: Control 14% Quadrant 4: Learning 13% The ECAR Framework: Students’ ICT expectations and preferences (adapted from Kvavik & Caruso, 2005, p.11) Pushing Boundaries: Beyond ConvenienceSlide26: The Project Team: Kerri-Lee Krause, Terry Judd, Anna Churchward, Kathleen Gray. The Project Sponsor: Associate Professor Sue Elliott, Pro Vice-Chancellor (Teaching, Learning and Equity). Students and staff who assisted with data collection. Billy Lee for this presentation. Barney Dalgarno and Sue Bennett. AcknowledgementsSlide27: Questions … www.bmu.unimelb.edu.au/research/netgen/index.html www.bmu.unimelb.edu.au/research/munatives/index.html You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Kennedy Dolorada Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 57 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: February 04, 2008 This Presentation is Public Favorites: 1 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Digital Natives + Others = First Year Students: Digital Natives + Others = First Year Students Dr Gregor Kennedy Biomedical Multimedia Unit with colleagues: Dr Kerri-Lee Krause, Dr Terry Judd, Ms Anna Churchward & Dr Kathleen Gray EDUCAUSE 2007Slide2: They [digital natives] have spent their entire lives surrounded by and using computers, videogames, digital music players, video cams, cell phones and all the other toys and tools of the digital age It is now clear that as a result of this ubiquitous environment and the sheer volume of their interaction with it, today’s students think and process information fundamentally differently from their predecessors. It is very likely that our students’ brains have physically changed - and are different from ours - as a result of how they grew up. Marc Prensky (2001)Slide3: ‘Digital Natives’ = ‘Net Generation’ = ‘Y Generation’ = ‘Millennials’ Born roughly between 1980 and 1994 Characterised by their familiarity with and reliance on information and communication technologies (ICTs). prefer multi-tasking and quick, non-linear access to information; are adept at processing information rapidly; have a low tolerance for lectures; prefer active rather than passive learning; rely heavily on communications technologies to access information and to carry out social and professional interactions. (Prensky 2001a, 2001b; Oblinger, 2003; Gros, 2003; Frand, 2000) Digital NativesSlide4: Digital Immigrant University staff are ill-equipped to educate Digital Natives, whose sophisticated use of emerging technologies is incompatible with current teaching practice. Prensky (2001) suggests that this disparity is the “the biggest single problem facing education today” (p. 2). Commentators say educators need to adjust their pedagogical models to suit the preferences of this new generation of students. The Problem: Natives vs. ImmigrantsThe Problem with the Problem: The Problem with the Problem Assumptions underlying Prensky’s view on students in Higher Education: All incoming University students are ‘Digital Natives’. These ‘Digital Natives’ are an homogenous group. These ‘Digital Natives’ are more adept with technology than their teachers. Everyday skills with technology will easily translate into beneficial technology-based learning. This project sought to address the first two of these assumptionsSlide6: While there are plenty of case studies, and some evidence, of the successful application of technology in Higher Education, there is little empirical research on the Digital Natives per se. Kvavik (2005) and Kvavik & Caruso (2005) ICT permeates all aspects of students lives. Students are comfortable with core technologies; less comfortable with specialised technologies. High levels of use and skill did not necessarily translate into preferences for increased use of technology in the classroom. Students prefer technology to a moderate degree and as a supplement in courses. What is the evidence?Slide7: Aim - Digital Natives Study It is worth noting that the study does not investigate the more cognitive characteristics of the Digital Natives (cognitive structure or function; i.e. neuroplasticity). Empirically document first-year University of Melbourne students’ experiences with an array of technologies and technology-based tools. Focus on: - Entrenched technologies (e.g. computers, email). - Emerging technology-based tools (e.g. IM, social networking, SMS, blogs, wikis, file sharing, RSS, podcasting). Slide8: 1,973 first year students surveyed. Orientation week and first week of Semester 1, 2006. Good representation across faculties. 62.4% females 37.5% males. 23.4% International 75.2% Local students. MethodSlide9: Demographics (11 items) Access to hardware and the Internet (16 items) Use of ‘tech-tools’ Computer (10 items) Web (22 items) Mobile (7 items) Skills with ‘tech-tools’ (39 items) Preferences for ‘tech-tools’ in University studies (34 items) Method Questionnaire Students were asked to report on their previous yearSlide10: Results - AccessSlide11: Mobile phone (96%) Desktop computer (90%) Digital camera (76%) Broadband Internet (73%) MP3 player (69%) Laptop computer (63%) ‘Core’ Technologies … or becoming so… % of students with ‘Unrestricted’ access Results - AccessSlide12: Sending or receiving email (94%) Mobile phone voice calls (92%) Mobile phone text messaging (93%) Creating documents (88%) Playing digital music files (84%) Web-searching for general information (83%) Communicating via instant messaging (80%) Web-searching for study (76%) ‘Core’ Tech-Activities … or becoming so … % of students completing activities daily or weekly Results - UseSlide13: Mobiles to take digital photos or movies (57%) Mobiles to send digital photos or movies (33%) Web-based file sharing - music (38%) - photos (31%) Blogs - reading (38%) - commenting (27%) - maintaining (21%) ‘Emerging’ Tech-Activities … Social networking (24%) VOIP telephony (19%) Web-conferencing (19%) Results - UseSlide14: Factor Analyses Slide15: Factor AnalysesSlide16: Factor AnalysesSlide17: Gender Females > Males for: - Web Publishing - Advanced Mobile Males > Females for: - Web Services - Games Results - Use Used 9 factors in a MANOVA by Gender (male, female) by Residency (international, local) by Faculty Slide18: Results - Use Residency International > Local for: - Web Publishing - Advanced Mobile - MP3, Pics & IM - Advanced Web - Games - Standard Mobile Local > International for: - Web Services Used 9 factors in a MANOVA by Gender (male, female) by Residency (international, local) by Faculty Slide19: Used 9 factors in a MANOVA by Gender (male, female) by Residency (international, local) by Faculty Results - Use Slide20: To assist with my University studies I want to be able to use… Results - PreferencesSlide21: Most want to use … Computer for digital document creation and multimedia presentations, learning portal, web searches and Uni services, instant messaging and SMS. Some want to use … but some don’t … Creating web pages / web sites, using PDAs, social networking software, web conferencing, RSS feeds and blogs Results - PreferencesSlide22: While there are clearly many tech-savvy first year students; - there is substantial diversity among this cohort - particularly when one moves beyond ‘core’ technologies. Any technology-based learning and teaching strategies need to consider student equity (access and skill levels). There are essential technologies expected by students. While the use of some technologies is widely endorsed by students; other technologies clearly don’t enjoy this endorsement. Implications: Learning and Teaching StrategySlide23: Implications for Prensky The assumptions underpinning Prensky’s rhetoric about a new generation of Digital Native students don’t quite hold. The “sheer volume of their interaction” with their technologically ubiquitous environment They have “spent their entire lives” using … videogames, digital music players, video cams, cell phones and all the other toys and tools of the digital age. It’s true for some, It’s not true for others …Slide24: Implications for Prensky Rather than scrambling to react to the so-called ‘Digital Natives’ … and changing our curricula in response to what we think they might be like (or like) … … we need to think carefully about how we can use particular ‘core’ and ‘emerging’ technologies to support learning in higher education, given the known diversity of experiences, attitudes and expectations of all students.Slide25: Quadrant 1: Convenience 50% Quadrant 2: Connection 20% Quadrant 3: Control 14% Quadrant 4: Learning 13% The ECAR Framework: Students’ ICT expectations and preferences (adapted from Kvavik & Caruso, 2005, p.11) Pushing Boundaries: Beyond ConvenienceSlide26: The Project Team: Kerri-Lee Krause, Terry Judd, Anna Churchward, Kathleen Gray. The Project Sponsor: Associate Professor Sue Elliott, Pro Vice-Chancellor (Teaching, Learning and Equity). Students and staff who assisted with data collection. Billy Lee for this presentation. Barney Dalgarno and Sue Bennett. AcknowledgementsSlide27: Questions … www.bmu.unimelb.edu.au/research/netgen/index.html www.bmu.unimelb.edu.au/research/munatives/index.html